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» Consistent Variance Curve Models
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BMCBI
2008
98views more  BMCBI 2008»
14 years 11 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
NIPS
2007
15 years 1 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
CLOR
2006
15 years 3 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICS
2001
Tsinghua U.
15 years 4 months ago
Analytical cache models with applications to cache partitioning
An accurate, tractable, analytic cache model for time-shared systems is presented, which estimates the overall cache missrate of a multiprocessing system with any cache size and t...
G. Edward Suh, Srinivas Devadas, Larry Rudolph
IDMS
1997
Springer
153views Multimedia» more  IDMS 1997»
15 years 3 months ago
Embedding Data in 3D Models
The recent popularity of digital media such as CD-ROM and the Internet has prompted exploration of techniques for embedding data, either visibly or invisibly, into text, image, and...
Ryutarou Ohbuchi, Hiroshi Masuda, Masaki Aono